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Assessment on artificial insemination service delivery system, challenges and opportunities of artificial insemination services in cattle production in Western zone of Tigray Region, Ethiopia

机译:埃塞俄比亚西区西部地区牛生产中人工授权服务交付系统,挑战和人工授精服务的挑战和机遇

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The aim of the survey was to assess artificial insemination (AI) service delivery system and identify the challenges and opportunities of AI service in cattle production in Western Zone of Tigray Region, Ethiopia. Twenty Kebeles (lowest administrative units) and 353 respondents were purposively involved in face-to-face interview. Data analysis was performed using SPSS and mainly summarized by frequency and percentages. Chi-square test was the statistical method used to test proportions of variables. There was statistically significant (P<0.05) differences in AI service interruptions in both regular working hours and weekends and holiday hours. AI service interruption was a critical challenge in regular working days and in weekends and holidays. This is because 73% of the respondents reported that AI service was interrupted in Monday through Friday and 75% of the respondents also reported that Artificial Insemination Technicians (AITs) were not available to deliver AI service in weekends and holidays. Above half (63%) of the small scale farmers reported that AITs were very poor. Most of the very poor AITs were in midland (48%) and lowland (36%) agro-ecologies compared to the AITs in highland (16%) agro-ecology. Mobile AI service delivery system through motor bikes was the most common AI service delivery system used. The major challenges of AI service in order of their importance were lack of community awareness, poor animal management, unskilled AITs and inadequacy of AITs. The government and NGOs should solve the current challenges of AI service. The current approach and system of AI delivery should be restructured. Adequate numbers of skilled manpower should be assigned based on the standard numbers of breedable cows per AI center or per AIT. Moreover, agro-ecology based human management system and infrastructure development should be adequately addressed.
机译:该调查的目的是评估人工授权(AI)服务交付系统,并确定埃塞俄比亚三角地区西区牛生产中AI服务的挑战和机遇。二十家科贝尔斯(最低行政单位)和353名受访者在面对面的面试中致力于参与。使用SPSS进行数据分析,主要通过频率和百分比进行总结。 Chi-Square测试是用于测试变量比例的统计方法。常规工作时间和周末和假日时间和假期时,AI服务中断的统计显着(P <0.05)差异。 AI服务中断在普通工作日和周末和假期中是一个关键挑战。这是由于73%的受访者报告说,AI服务于周一至周五在周五中断,75%的受访者亦报告说,人工授精技术人员(AITS)无法在周末和假期提供AI服务。超过一半的小规模农民报告说,AITS非常差。与高地的ARO-Ecology中的ATITS相比,大多数非常贫穷的AITS都在中德兰(48%)和低地(36%)农业生态学。移动AI服务交付系统通过电机自行车是最常见的AI服务交付系统。 AI服务的主要挑战是他们重要的重要性,缺乏社区意识,贫困的动物管理,不熟练的枕头和灰色的不足。政府和非政府组织应解决AI服务的当前挑战。应重组目前的方法和AI交付系统。应根据AI中心或每次AIT的标准数量的标准数量来分配足够的熟练人力。此外,应充分解决基于农业生态的人类管理系统和基础设施开发。

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